Samsung Electronics Co., Ltd.

Evan Welbourne

Emmanuel Munguia Tapia

Jun Yang

Abhishek Mukherji

Lu Luo

Xuan Bao

Yifei Jiang

Yoshiya Hirase

Kiran K Rachuri

Zhixian Yan

Enamul Hoque

A method and device for automatic meeting detection and analysis. A mobile electronic device includes multiple sensors configured to selectively capture sensor data. A classifier is configured to analyze the sensor data to detect a meeting zone for a meeting with multiple participants. A processor device is configured to control the multiple sensors and the classifier to trigger sensor data capture.

Automatic detection and analytics using sensors

Social grouping using a device may include determining, by the device, a set of attributes associated with interactions between a user and a set of contacts, wherein the set of attributes associated with the interactions is related to the device. The contacts may be organized into groups. The groups may be hierarchically ordered with at least one of the groups being a subgroup of another one of the groups.

On-device social grouping for automated responses

An electronic system includes: a control unit configured to: generate an encrypted information based on encrypting an information type, generate a mapping table including the encrypted information, the information type, or a combination thereof, generate a restored information based on mapping a decomposed information of the encrypted information, categorized according to a decomposition rule, to a corresponding instance of the information type in the mapping table, and a user interface, coupled to the control unit, configure to display the restored information on an activity dashboard for receiving a user entry to calibrate the decomposition rule.

Electronic system with privacy mechanism and method of operation thereof

In one embodiment, a monitoring method is described. The method includes detecting a set of contextual information by a monitoring device, and retrieving from the monitoring device a particular compliance query that adapts to the detected contextual information from one or more compliance queries.

Context-aware compliance monitoring

A method and system for providing an answer to a subscription-based query service. The method includes acquiring context information and evidence information from one or more electronic devices based on a query. One or more belief values are assigned based on the evidence information and the context information. The belief values are aggregated for determining a score for competing hypotheses using a probabilistic model. Sufficiency of hypotheses is determined based on statistical significance for potential answer information to the query.

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San Francisco, CA, United States of America

Evan Welbourne